FORECASTING THE BEARING CAPACITY OF REINFORCED CONCERETE COLUMNS UNDER BIAXIAL BENDING AND COMPRESSION BASED ON ARTIFICIAL NEURAL NETWORK

Jiao Junting; Yu Linchong

doi:10.13204/j.gyjz200601009

Volume 36 Issue 1

Dec. 2014

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Jiao Junting, Yu Linchong. FORECASTING THE BEARING CAPACITY OF REINFORCED CONCERETE COLUMNS UNDER BIAXIAL BENDING AND COMPRESSION BASED ON ARTIFICIAL NEURAL NETWORK[J]. INDUSTRIAL CONSTRUCTION, 2006, 36(1): 27-29. doi: 10.13204/j.gyjz200601009

Citation:

Jiao Junting, Yu Linchong. FORECASTING THE BEARING CAPACITY OF REINFORCED CONCERETE COLUMNS UNDER BIAXIAL BENDING AND COMPRESSION BASED ON ARTIFICIAL NEURAL NETWORK[J]. INDUSTRIAL CONSTRUCTION, 2006, 36(1): 27-29. doi: 10.13204/j.gyjz200601009

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FORECASTING THE BEARING CAPACITY OF REINFORCED CONCERETE COLUMNS UNDER BIAXIAL BENDING AND COMPRESSION BASED ON ARTIFICIAL NEURAL NETWORK

doi: 10.13204/j.gyjz200601009

Jiao Junting¹,
Yu Linchong²

1.
1 Jiaying University Meizhou 514015;
2.
2 Beihang University Beijing 100083

Received Date: 2005-03-30
Publish Date: 2006-01-20

Abstract

Abstract

It is complicated to calculate the lateral bearing capacity of reinforced concrete(RC) columns under biaxial bending and compression. The lateral bearing capacity is affected by many factors such as section dimension, axial compression ratio, concrete strength, loading angle, shearing span ratio and reinforcement ratio. Based on BP neural network, a model is presented to forecast the lateral bearing capacity of RC columns under biaxial bending and compression. The model on BP neural network is made by taking main factors affecting the lateral bearing capacity and using numerical computed data, and it is verified that BP neural network model has a good effect in the forecast ofthe lateral bearing capacity of RC columns under biaxial bending and compression.
- reinforced concrete,
- columns under biaxial bending and compression,
- neural network

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References(14)

References

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